Triple
T26498255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richmond High School |
E669341
|
entity |
| Predicate | hasEventDepicted |
P6686
|
FINISHED |
| Object | 1999 basketball season lockout by Coach Ken Carter |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1999 basketball season lockout by Coach Ken Carter | Statement: [Richmond High School, hasEventDepicted, 1999 basketball season lockout by Coach Ken Carter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEventDepicted Context triple: [Richmond High School, hasEventDepicted, 1999 basketball season lockout by Coach Ken Carter]
-
A.
portraysEvent
chosen
Indicates that one entity depicts, represents, or illustrates a particular event.
-
B.
isDepictedVia
Indicates that one entity is represented, illustrated, or shown by means of another entity, such as a specific medium, style, or method of depiction.
-
C.
hasFictionalEventType
Indicates that something is associated with, characterized by, or classified under a particular type or category of fictional event.
-
D.
hasNotablePersonEvent
Indicates that there exists a significant event in which the person plays a notable or central role.
-
E.
televisionShowDepicted
Indicates that one entity is a television show in which the other entity is portrayed, represented, or appears.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61358da60819085a4be177f30ac99 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:10 a.m.